Ziliang Zhang
Jeff Gray
ABSTRACT
Low-code development is an emerging paradigm that allows end-users to develop software that meets their needs without in-depth knowledge of traditional programming languages (e.g., Java, C++, Python). As a new technology that has existed for less than a decade, low-code development is providing new opportunities in industry. However, aside from the functionality offered in low-code development platforms (LCDPs), little attention has been paid to the role of low-code testing support. LCDPs need more capabilities to support testing because the difficulties in creating low-code test cases include: end-user understanding, interaction between modules and workflows, the ability to find bugs or errors, and quality assurance from a higher-level view of the product. This paper considers Bubble.io, a low-code platform, as an example context to explain the difficulties of existing low-code platforms in testing and identifying errors. We describe the design of a test expression language to help end-users better understand the errors in their product such that they can make targeted changes.
- Gediminas Adomavicius and Alexander Tuzhilin. 2001. Expert-driven Validation of Rule-based User Models in Personalization Applications. Data Mining and Knowledge Discovery 5 (2001), 33--58.Google Scholar
Digital Library
- Bohner. 1996. Impact Analysis in the Software Change Process: A Year 2000 Perspective. In 1996 Proceedings of International Conference on Software Maintenance. IEEE, Monterey, CA, 42--51.Google Scholar
- Bubble.io. 2023. Working With Location Data. https://manual.bubble.io/help-guides/data/the-database/working-with-location-data.htmlGoogle Scholar
- Hamza Ed-Douibi, Javier Luis Cánovas Izquierdo, and Jordi Cabot. 2018. Automatic Generation of Test Cases for REST APIs: A Specification-based Approach. In 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC). IEEE, Stockholm, Sweden, 181--190.Google Scholar
- Roy S Freedman. 1991. Testability of Software Components. IEEE Transactions on Software Engineering 17, 6 (1991), 553--564.Google ScholarDigital Library
- Sukhpal Singh Gill, Minxian Xu, Carlo Ottaviani, Panos Patros, Rami Bahsoon, Arash Shaghaghi, Muhammed Golec, Vlado Stankovski, Huaming Wu, and Ajith Abraham. 2022. AI for Next Generation Computing: Emerging Trends and Future Directions. Internet of Things 19 (2022), 100514.Google ScholarCross Ref
- Martin Hirzel. 2023. Low-code Programming Models. Commun. ACM 66, 10 (2023), 76--85.Google ScholarDigital Library
- Katharina Juhnke, Matthias Tichy, and Frank Houdek. 2021. Challenges Concerning Test Case Specifications in Automotive Software Testing: Assessment of Frequency and Criticality. Software Quality Journal 29 (2021), 39--100.Google ScholarDigital Library
- Caitlin Kelleher and Randy Pausch. 2005. Lowering the Barriers to Programming: A Taxonomy of Programming Environments and Languages for Novice Programmers. ACM Comput. Surv. 37, 2 (jun 2005), 83--137. https://doi.org/10.1145/1089733.1089734Google ScholarDigital Library
- Henry Lieberman, Fabio Paternò, Markus Klann, and Volker Wulf. 2006. End-user Development: An Emerging Paradigm. In End User Development. Springer, 1--8.Google ScholarCross Ref
- Fabio Paternò and Carmen Santoro. 2019. End-user Development for Personalizing Applications, Things, and Robots. International Journal of Human-Computer Studies 131 (2019), 120--130.Google ScholarDigital Library
- Clay Richardson and John R Rymer. 2016. Vendor Landscape: The Fractured, Fertile Terrain of Low-code Application Platforms. Forrester, Janeiro (2016), 12.Google Scholar
- Per Rovegård, Lefteris Angelis, and Claes Wohlin. 2008. An Empirical Study on Views of Importance of Change Impact Analysis Issues. IEEE Transactions on Software Engineering 34, 4 (2008), 516--530.Google ScholarDigital Library
- Leif Sundberg and Jonny Holmström. 2023. Democratizing Artificial Intelligence: How No-code AI Can Leverage Machine Learning Operations. Business Horizons (2023).Google Scholar
Index Terms
- Test Case Expression in a Low-Code Development Platform
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